ECTS
ECTS Course Catalogue
Course details
Course code: BIS10057f17Semester: 2017/2018 summer
Name: Genome-Wide Association Study in Animals
Major: Bioinformatics
Study Type: first cycle
Course type: optional
Study Semester: 6
ECTS points: 2
Hours (Lectures / Tutorials / Other): 15 / 15 / 0
Lecturer: dr hab. Heliodor Wierzbicki; heliodor.wierzbicki@up.wroc.pl
Language of instruction: Polish
2. The course taught in English if the group has ≥6 students. The course taught in Polish with a possibility of support in English if the group has <6 students
Learning outcomes: Knowledge: After completing the course students know the statistical methods used when analyzing genomes of animals, know principles of genome wide association study[BI_W08], know classes of genetic markers [BI_W08], [BI_W11] and phenomenon of linkage disequilibrium [BI_W14]. Skills: Students are able to use statistical methods and computer software to study and analyze genomes of animals as well as data of biological (molecular) origin [BI_U01], [BI_U03], [BI_U07]. Personal and social competences (attitudes and behaviors): Students are aware of advantages of team work and responsibility of team members for common goals, take care of lab equipment [BI_K02].
Competences:
Prerequisites: biochemistry, genetics, cell biology, computer science
Course content: The overall purpose of the course is to provide students with theoretical background and practical skills concerning genetic markers, linkage disequilibrium (LD) and its measures, mapping genes of large effects (QTL) using LD, marker assisted selection (MAS), and factors affecting the accuracy of genome-wide association study and genomic selection.
Recommended literature: BROWN T. A. (2001). Genomy. Wydawnictwo Naukowe PWN. FALCONER D.S., MACKAY T.F.C. (1996). Introduction to quantitative genetics. Longman. WINTER P.C., HICKEY G.I., FLETCHER H.L. (2006). Genetyka. Krótkie wykłady. Wydawnictwo Naukowe PWN.
Assessment methods: Studentswill have to prepare 2 projects using computer software; the final grade of the course will be calculated as arithmetic mean of the projects assessments.
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